| """ | |
| The most atomic way to train and inference a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
| export const gpt_functions_param_jobs_fetching = [ | |
| { | |
| name: "process_job_data", | |
| description: "Process job data and extract core fields for a scraper.", | |
| parameters: { | |
| type: "object", | |
| additionalProperties: false, | |
| properties: { | |
| // Company | |
| company_name: { |
The OpenClaw guide and config is now maintained as a proper repository with better structure and actionable examples.
New location: https://github.com/digitalknk/openclaw-runbook